Jan 4, 2019 · We present a probabilistic framework to precisely keep track of uncertainties throughout the entire manipulation process. In agreement with ...
Jan 4, 2019 · Abstract—Precisely tracking uncertainties is crucial for robots to successfully and safely operate in unstructured and dynamic environments.
This work presents a probabilistic framework to precisely keep track of uncertainties throughout the entire manipulation process, decomposing the process ...
We present a probabilistic framework to precisely keep track of uncertainties throughout the entire manipulation process. In agreement with common manipulation ...
In this paper, we introduce a new LfD framework that can learn robot manipulation skills encapsulated in SPD matrices from expert demonstrations and adapt them ...
Oct 10, 2017 · In this paper, we extend the probabilistic framework to tackle the problem of precision grasping of unknown objects. We first propose an object ...
3 A Probabilistic Framework for Tracking Uncertainties in Robotic Manip- ... framework to precisely keep track of the uncertainties in manipulation tasks.
First, we propose a probabilistic framework to precisely keep track of uncertainties throughout the entire manipulation process. In agreement with common ...
Abstract—Logic-Geometric Programming (LGP) is a pow- erful motion and manipulation planning framework, which represents hierarchical structure using logic ...
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Probabilistic robotics is a new approach to robotics that pays tribute to the uncertainty in robot perception and action. They key idea of probabilistic�...